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中国工业与应用数学学会会刊
主管：中华人民共和国教育部
主办：西安交通大学
ISSN 1005-3085  CN 61-1269/O1
工程数学学报

工程数学学报 ›› 2023, Vol. 40 ›› Issue (6): 883-895.doi: 10.3969/j.issn.1005-3085.2023.06.003

• • 上一篇    下一篇

新型布谷鸟搜索算法及其应用

覃国锐   

  1. 广西科技师范学院，广西 来宾 546199
  • 收稿日期:2021-05-24 接受日期:2022-06-21 出版日期:2023-12-15 发布日期:2024-02-15
  • 基金资助:
    广西高等教育本科教学改革工程项目 (2018JGB361)；广西高校中青年教师科研基础能力提升项目 (2019KY0863).

Novel Cuckoo Search Algorithm and Its Application

QIN Guorui   

  1. Guangxi Science & Technology Normal University, Laibin, Guangxi 546199
  • Received:2021-05-24 Accepted:2022-06-21 Online:2023-12-15 Published:2024-02-15
  • Supported by:
    The Higher Education Undergraduate Teaching Reform Project of Guangxi (2018JGB 361); the  Basic Research Ability Improvement Project for University Young and Middle-aged Teachers of Guangxi (2019KY0863).

摘要：

为了解决通常布谷鸟搜索算法在寻优过程中存在收敛速度慢、计算精度差等缺陷，提出了一种新型的布谷鸟搜索算法，并应用于图像配准问题。首先分析了基本布谷鸟搜索算法中的不足，利用信息分享、局部增强算子和新方式建立鸟巢来提高种群多样性、局部勘探能力和收敛速度。通过15个基准函数实验和2个医学图像配准实例，所有实验结果表明，改进算法具有更好的收敛速度、计算精度和鲁棒性。

关键词: 布谷鸟搜索算法, 种群多样性, 函数优化, 图像配准

Abstract:

Aiming at the shortcomings of slow convergence and poor solution accuracy in the optimization process of the usual cuckoo search algorithm, novel cuckoo search algorithm is proposed and applied to image registration. Firstly, this paper analyzes the deficiency of L\'evy flight in usual cuckoo search algorithm; and using information sharing, local enhancement operators and new methods to build nests to improve population diversity, local exploration capability and convergence speed. Through 15 test functions and 2 medical image registration experiments, we show that improved cuckoo search algorithm has better convergence speed, calculation accuracy and robustness.

Key words: cuckoo search algorithm, population diversity, function optimization, image registration

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